Tail Index Estimation: Quantile-Driven Threshold Selection Staff working paper 2019-28 Jon Danielsson, Lerby Ergun, Casper G. de Vries, Laurens de Haan The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments Staff working paper 2019-27 George Evans, Cars Hommes, Isabelle Salle, Bruce McGough Most models in finance assume that agents make trading plans over the infinite future. We consider instead that they are boundedly rational and may only form forecasts over a limited horizon. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C9, C92, D, D8, D84, E Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms Staff working paper 2019-26 Rodney J. Garratt Liquidity demands in real-time gross settlement payment systems can be enormous. To reduce the liquidity requirement, central banks around the world have implemented liquidity savings mechanisms (LSMs). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C72, E, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Lending Standards, Productivity and Credit Crunches Staff working paper 2019-25 Jonathan Swarbrick We propose a macroeconomic model in which adverse selection in investment drives the amplification of macroeconomic fluctuations, in line with prominent roles played by the credit crunch and collapse of the asset-backed security market in the financial crisis. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E22, E3, E32, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
Online Privacy and Information Disclosure by Consumers Staff working paper 2019-22 Shota Ichihashi A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Structural challenges, Digitalization and productivity
Central Bank Communication That Works: Lessons from Lab Experiments Staff working paper 2019-21 Oleksiy Kryvtsov, Luba Petersen We use controlled laboratory experiments to test the causal effects of central bank communication on economic expectations and to distinguish the underlying mechanisms of those effects. In an experiment where subjects learn to forecast economic variables, we find that central bank communication has a stabilizing effect on individual and aggregate outcomes and that the size of the effect varies with the type of communication. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C9, D, D8, D84, E, E3, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
A Structural Model of the Global Oil Market Staff analytical note 2019-17 Reinhard Ellwanger This note presents a structural vector autoregressive (SVAR) model of the global oil market. The model identifies four types of shocks with different economic interpretations: oil supply shocks, oil-market-specific demand shocks, storage demand shocks and shocks to global economic growth. Content Type(s): Staff research, Staff analytical notes JEL Code(s): Q, Q4, Q41, Q43 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Reassessing Trade Barriers with Global Value Chains Staff working paper 2019-19 Yuko Imura This paper provides a systematic, quantitative analysis of the short-run and long-run effects of various trade-restricting policies in the presence of global value chains and multinational production. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F12, F13, F4, F41 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Estimating the Effect of Exchange Rate Changes on Total Exports Staff working paper 2019-17 Thierry Mayer, Walter Steingress This paper shows that real effective exchange rate (REER) regressions, the standard approach for estimating the response of aggregate exports to exchange rate changes, imply biased estimates of the underlying elasticities. We provide a new aggregate regression specification that is consistent with bilateral trade flows micro-founded by the gravity equation. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F11, F12, F3, F31, F32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, International trade, finance and competitiveness
Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects Staff working paper 2019-16 Kerem Tuzcuoglu Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C23, C25, C5, C58, G, G2, G24 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods, Economic models